44 results about "Device Usage" patented technology

The invention relates to the technical field of directional advertisement, in particular to an advertisement putting method based on a user portrait, which comprises the following steps of: acquiring equipment use time of a target user, recording use types and corresponding use frequencies of software and corresponding advertisement response information, dividing the equipment use time into a plurality of putting characteristic time periods, determining the advertisement putting type of each putting characteristic time period; according to the advertisement feedback attitude of the user in each feature time period, determining an advertisement effective tendency category of the current user in each putting feature time period so as to determine a basic advertisement putting mode; and according to the duration percentage in each time period, determining an advertisement acceptance fluctuation parameter of the user in the current time period so as to judge whether to adjust the advertisement putting content in the current characteristic time period, and according to the advertisement watching duration percentage of each use type of software, determining an adjustment direction. And the overall advertisement putting effect is improved.

The invention provides a search result recommendation method and equipment, which are used for improving the search performance of electronic equipment and improving the use experience of a user on a search function of the electronic equipment. According to the method, the electronic equipment detects and responds to a search instruction of a user, and a search word can be obtained; the electronic equipment can obtain at least one piece of equipment use information; based on the obtained search term and the equipment use information, the electronic equipment can provide a search result matched with the equipment use information of the electronic equipment, and the provided search result can be obtained after screening and / or sorting. Therefore, the search result provided by the electronic equipment can fit the use habit of the user or can be matched with the use state of the electronic equipment, so that the use experience of the user can be improved.

1. The name of the design product: device usage record graphical user interface for electronic device. 2. The use of the design product: the design product is used for electronic device. 3. The design points of the design product: the graphical user interface in the electronic device. 4. The picture or photo that best indicates the design points: design 1 front view. 5. The electronic device is a conventional design, and other views are omitted. 6. Design 1 is designated as the basic design. 7. The use of the graphical user interface: after establishing a connection relationship with the hearing aid, the sound log function can be used to view various usage records of the hearing aid. Interface interaction process: design 1 front view is used to display the cumulative usage time of both ears and the recent wearing time information; in design 1 front view, the interface is jumped to design 1 interface change state diagram by sliding upwards, design 1 interface change state diagram is used to display the average wearing time information and more reasonable wearing suggestions; the interaction process and use of design 2 are the same as those of design 1.

Systems and methods for personalized device routines include determining devices associated with user account data and generating device usage data indicating aspects of smart device usage over a period of time. The usage data may then be utilized to identify candidate smart devices, time indicators, and trigger event types to associate with candidate routines. One or more of the candidate routines may be recommended to a user based at least in part on the usage data and the trigger event types at issue to personalize the device routine recommendations.

A method comprising obtaining, from a master user, a device usage allocation applicable to two or more devices, the two or more devices being associated with another user, the another user being different from the master user, obtaining an aggregate measure of device usage associated with the two or more devices, if the aggregate measure of device usage associated with the two or more devices satisfies a condition relative to the device usage allocation, managing an activity of the two or more devices, and sending a notification to at least one of the two or more devices, the notification for presentation to the another user through a user interface of the at least one of the two or more devices.

Presented are methods and systems to universally assess composite utility consumption (1) in which a plurality of real-time and batch sensor readings such as from multiple disparate utility sensor data inputs (3) may be acquired and stored such as into a local device (2) or a central data warehouse (6). A composite utility estimated cost generator (9) can generate missing or uncorrelated data and a collected composite utility data information correlator (11) can correlate the data so it can be applied to determine some type of composite utility cost information. For real-time calculation, a disparate utility rate information accessor (8) can obtain multiple items of disparate rate information and this can use with correlated data to create a composite utility consumption and spend so a user can manage and control utility usage for a home, building, facility, plant, specific equipment, or the like. Cost information, such as a rate of spend or spend amount(s) to date or for a period may be presented to user in a variety of visualizations and reporting formats including specific time usage and spend information, specific time range usage and spend, and “time-of-use” billing information for specific real-time data points. The visualization and reporting may be used to answer a plurality of usage questions along with specific characterizations of utility spend across time of day domains and specific equipment usage domains thus affording more effective utility cost management.

The invention relates to managing device usage. A device of the present invention receives a time-based limitation of a first user on use of an application, website, or device level function. The device receives encrypted data indicating use of the first user on a second device with respect to the application, website, or device level functionality. The device determines that at least one of the use of the first user on the second device with respect to the application, website, or device-level functionality or the use of the first user on the device with respect to the application, website, or device-level functionality violates the time-based limitation. In response to the determination, the device provides a notification that the first user has violated the time-based limit.

An embodiment of the present application discloses a device. The device includes at least one processor and a memory accessible to the at least one processor for storing instructions. The instructions are executed by the at least one processor to determine the current location of one or more of the first device and the second device based on at least one ultra-wideband (UWB) signal transmitted between the first device and the second device, and based on the current location, establish one or more location-based usage permissions for one or more of the first and second devices. It not only solves the problem in the prior art that it is impossible to perform sufficiently fine-grained device location tracking indoors, but also allows or prohibits terminal users from using various functions of the device according to the location of the device.

The invention relates to a method for determining a usage profile (145) of a cleaning device (100). The method comprises a step of reading in cleaning device usage data (135), wherein the cleaning device usage data (135) represents times of use of the cleaning device (100) and / or times of used load parameters (122) and / or times of used device parameters (117) during use of the cleaning device (100). Furthermore, the method comprises a step of creating a time history of the use of the cleaning device (100) using the cleaning device usage data (135) in order to determine the usage profile (145) of the cleaning device (100).

The invention relates to the technical field of equipment control, and discloses an equipment control method and device based on user habits, equipment, a medium and a product, the local time of the environment where the equipment is located is determined through light intensity change data, and an equipment clock is calibrated. And the calibrated equipment clock is utilized to record the equipment use condition of the user in the preset period, and the working days and the rest days in the preset period are identified, so that the user use habits of the user in the working days and the rest days are learned. Therefore, the equipment can be controlled in combination with the use habit of the user matched with the current date during operation of the equipment. According to the method and the device, the local time of the equipment can be automatically reset under the conditions of no network connection and environment time zone crossing, so that the user habits conforming to the local time of the user are recorded and learned according to the local time, the situation that the set habits of the equipment are not conforming to the real habits of the user is prevented, and the equipment use experience of the user is improved.

The present invention relates to the field of device control technology, and discloses a device control method, apparatus, equipment, medium and product based on user habits. The present invention determines the local time of the environment in which the device is located through light intensity change data, and calibrates the device clock. The calibrated device clock is then used to record the user's device usage within a preset period, and by identifying the working days and rest days within the preset period, the user's usage habits on working days and rest days are learned. Therefore, during the operation of the device, the device can be controlled in combination with the user's usage habits that match the current date. The present application can also automatically reset the local time of the device in the absence of a network connection and in an environment across time zones, thereby recording and learning user habits that are consistent with the user's local time according to the local time, preventing the habits set by the device from being inconsistent with the user's real habits, and improving the user's device usage experience.

The present application provides a method, apparatus, and shared service platform for controlling shared devices. The method comprises: obtaining device distribution information and device usage information for the current usage cycle, obtaining the current device distribution information and current device usage information, wherein the device distribution information includes the number of shared devices at each shared device distribution point, and the device usage information includes the usage time and number of times the shared devices are used; inputting the current device distribution information and current device usage information into a shared device on / off prediction model to predict the number of shared devices powered on in the next usage cycle; and, at the start of each time period in the next usage cycle, controlling the number of shared devices powered on at each shared device distribution point based on the powered-on number information. This method solves the problem in the prior art of low device utilization in the powered-on state of shared devices, which leads to high energy consumption.

A method for monitoring device usage includes: receiving user device information; based on the user interaction data, determining a state associated with the user device; and based on the state of the user device, determining a set of tap parameters. Additionally or alternatively, the method can include any or all of: determining a risk score based on at least on the set of tap parameters; determining an output based on the risk score; and / or any other suitable processes performed in any suitable order.

The embodiment of the present application provides a task push method, device and electronic device. The method includes: monitoring whether an external device is connected to the current device; when the external device is connected to the current device, determining whether there is a device usage habit description corresponding to the external device; when the device usage habit description exists, generating a first task card display interface based on the device usage habit description, and displaying the first task card display interface or an interface for entering the first task card display interface on the current device. Compared with the prior art, the method according to an embodiment of the present application greatly simplifies the use process of the external device, reduces the tediousness of the external device use process, and improves the user experience.

Techniques for presenting personalized content to a user are described. A smart home system may determine activity data (including present activity data and device usage history) specific to interactions involving a first device, and generate activity embedding data representing the activity data. The smart home system may also receive a first list content for presentment, and generate a second list of content using the first list and the activity embedding data. The smart home system may send the second list to the first device. The first device may determine a third list of content based on the second list and an identify of a user presently interacting with the first device, such that the third list of content is specific to interactions involving the first device and the user. The first device may then present at least one instance of content represented in the third list.

The invention relates to the technical field of equipment information pushing, and particularly discloses an equipment information pushing method and system, and the method comprises the steps: receiving individual information sent by an equipment user, carrying out the statistics of the equipment use condition of the equipment user based on the individual information, and creating an identity portrait of the equipment user; receiving equipment information uploaded by an equipment provider, and determining the pushing probability of each equipment user based on the identity portrait of the equipment user; and pushing the equipment information to the equipment user based on the pushing probability, and forwarding a response request of the equipment user to the equipment provider when the response request is received. According to the method and the device, the pushing probability of the device user is determined through the information of the device user, and the device information is pushed to each device user based on the pushing probability when the device information is pushed, so that the randomness of the pushing process is greatly improved, the fixed pushing phenomenon is effectively avoided, and the anti-sensitivity of the device user is reduced from a certain aspect.

The invention belongs to the technical field of electric appliances, and particularly relates to a control method, device and equipment of washing and care equipment and a medium, and the method comprises the steps: when a target door module meeting a preset condition exists, obtaining image information, captured by a camera device, of a target inner cylinder corresponding to the target door module; according to the image information, if it is confirmed that to-be-processed clothes are stored in the target inner drum, the type of the washing and care equipment is obtained, and the type is used for indicating that the washing and care equipment is single-drum equipment or multi-drum equipment; according to the type, equipment use information of the washing and care equipment is obtained, and the equipment use information is used for indicating historical use information of the target inner cylinder; and according to the equipment use information, obtaining a corresponding recommended program, and sending the recommended program to a user side, so that the user side selects a used running program. According to the method, the clothes adding action of the user can be intelligently recognized, automatic recognition and intelligent recommendation of the washing equipment are achieved, and the user experience is improved.

Verifying that a user is using a device at a pre-designated location between a start time and an end time includes: computing a challenge and an answer as a function of the challenge; generating and storing in a blockchain a commitment including an identity of the user, an identity of the device, the pre-designated location associated with the user, a start time of the device usage, an end time of the device usage, and the computed challenge; generating a visual code for the device to carry the answer; encrypting the generated visual code using a public key of the device, wherein the encrypted visual code can only be decrypted with a private key of the device; and storing the encrypted visual code in the blockchain.

The invention relates to the technical field of equipment management service, in particular to an enterprise-level equipment as a service (DaaS) system which comprises a remote memory monitoring module, an equipment use identification module, a use cycle mapping module, an abnormal state identification module and a staged service label module. According to the invention, by collecting the memory usage data of the device in real time and calculating the memory utilization rate, the resource abnormity can be identified in time, and by analyzing the starting and ending time of the device session and combining the reference of the service level agreement for comparison, the refined classification of the device usage condition is realized; through deviation comparison with baseline data such as equipment use frequency and task throughput, abnormal behaviors are found in advance, abnormal behavior recognition is performed through multi-dimensional feature cross validation, the accuracy of abnormal detection can be greatly improved, the accuracy, response speed and early warning capability of equipment resource management are remarkably improved, the operation and maintenance cost is effectively reduced, and the method is suitable for popularization and application. And the service life cycle of equipment is prolonged.

The embodiment of the invention provides an equipment state detection method and device, equipment and a storage medium, and relates to the field of artificial intelligence. The equipment state detection method comprises the following steps: acquiring displacement information of equipment through a gyroscope module, and determining a motion state of the equipment according to the displacement information; if the motion state of the equipment is a static state, acquiring environment sound through a recording module, and identifying the environment sound to obtain a sound source identification result; determining an equipment use condition of the equipment according to the sound source identification result, and determining a working state of the equipment according to the equipment use condition of the equipment; acquiring position information of the equipment or environment information of the equipment according to the working state of the equipment; according to the position information of the equipment or the environment information of the equipment, the equipment state of the equipment is determined, and the equipment state comprises an idle state and a lost state. The invention aims to solve the problems of low equipment utilization rate and high equipment loss risk in a specific scene.

Embodiments of this application provide a task push method and apparatus, and an electronic device. The method includes: monitoring whether an external device is connected to a current device; when the external device is connected to the current device, determining whether a device usage habit description corresponding to the external device exists; and when the device usage habit description exists, generating a first task card display interface based on the device usage habit description, and displaying, on the current device, the first task card display interface or an interface used to enter the first task card display interface. Compared with the conventional technology, in the method in embodiments of this application, a procedure of using the external device is greatly simplified, complexity of a process of using the external device is reduced, and user experience is improved.

This invention discloses a smart home scene recommendation method and smart home devices. It generates and stores an original scene usage dataset based on smart home device usage data from different users, environmental data at usage times, and publicly available personal characteristic data from each user. A preset feature filtering algorithm is used to select multiple important features with importance metrics greater than a preset threshold from various basic features. A preprocessed scene usage dataset is then selected from the original scene usage dataset based on these important features. Finally, target scene setting parameters matching the current user are determined from the preprocessed scene usage dataset based on the importance metrics of each important feature, and these target scene setting parameters are pushed to the current user's terminal. This allows for more accurate smart home scene recommendations and improves the user experience.

A method for monitoring device usage includes: receiving user device information; based on the user interaction data, determining a state associated with the user device; and based on the state of the user device, determining a set of tap parameters. Additionally or alternatively, the method can include any or all of: determining a risk score based on at least on the set of tap parameters; determining an output based on the risk score; and / or any other suitable processes performed in any suitable order.

An electronic device, computer program product, and method autonomously updates / modifies device features and / or settings for use in a new location having specific requirements for device usage. The device processor executes code to: determine that a user of the electronic device will be travelling from a first location having the first set of location specific requirements to a second location having a second set of location specific requirements; and identify the second set of location specific requirements corresponding to the second location. In response to at least one of a time trigger or a location trigger corresponding to the electronic device being moved to the second location, the processor autonomously modifies one or more device features associated with the second set of location specific requirements to enable the electronic device to operate according to the second set of location specific requirements while the electronic device is in the second location.

The invention relates to the technical field of credit analysis, in particular to a method, a device and equipment for analyzing user credit based on a graph neural network, and the method comprises the steps: fusing the multi-source data of a user in a period of time, such as object transaction data, equipment use data, credit data, associated user data and other data of different dimensions; according to the method and the device, the credit condition of the user is determined by analyzing the nodes of different dimensions and the credit characteristics of the nodes, so that the analysis accuracy of the credit condition of the user can be improved, and the processing accuracy and efficiency of user credit decision are improved; for example, the lease admission analysis accuracy is improved, the guarantee deposit adjustment efficiency and accuracy are improved, and the overdue risk prediction accuracy and reliability are improved.

To make it possible to present an estimated apparatus usage environment and support appropriate settings for security measures.SOLUTION: An information processing device acquires feature information of communication performed by a first apparatus, estimates the usage environment of the first apparatus based on a trained model generated by performing machine learning based on feature information of communication performed by a plurality of second apparatuses and setting information on the usage environment set in the second apparatuses, and the acquired feature information of communication related to the first apparatus, and notifies the estimated usage environment of the first apparatus.SELECTED DRAWING: Figure 1

The invention belongs to the technical field of electric appliances, and particularly relates to an equipment use prompting method and device, equipment and a medium, and the method comprises the steps that a target program selected by a user is acquired, and the target program represents a running program which can be executed by the equipment; obtaining historical use information of the target program, wherein the historical use information is used for indicating the historical use times of the target program and a first interval duration between the time of using the target program last time and the current time; according to the historical use information, a prompt strategy corresponding to the target program is obtained, and prompt information is sent to a user based on the prompt strategy so as to prompt the user to look up the use instruction of the target program. According to the method, differentiated reminding can be carried out flexibly according to the degree of need of the user for the specification during user operation according to the historical use information of the program. The method is friendly to the user who cannot skillfully operate the equipment, so that the user can conveniently and quickly check the description, and the user experience is enhanced.

The invention relates to the technical field of equipment scheduling, and discloses an intelligent scheduling method and system based on equipment use frequency, equipment and a medium, and the method comprises the steps: collecting the basic information of a task and the related information of all to-be-used equipment; respectively establishing a scheduling model for the plurality of tasks belonging to the same type and all the to-be-used devices corresponding to the tasks of the type, and optimizing the scheduling model to obtain an optimal scheduling scheme; and performing scheduling distribution of equipment and tasks according to the optimal scheduling scheme. According to the invention, by using an intelligent algorithm, reasonable scheduling of equipment resources is realized, and idle equipment and unnecessary waiting are reduced.

The invention provides a device checking method, a multi-device system and a computer readable storage medium, the system comprises a plurality of devices, and the device checking method comprises the following steps: acquiring basic use data of each device; acquiring energy management data of the system within a preset time; according to the energy management data of the system within the preset time, statistical use data of each device is obtained through a machine learning model; and comparing the basic use data with the statistical use data to judge whether the equipment operates normally or not. According to the embodiment of the invention, the relation between the energy management data and the equipment use condition is established, the operation condition of the equipment is reflected through the energy management data, the operation condition of the equipment can be preliminarily judged, the manual labor is reduced, and the equipment checking cost is reduced.